Find research datasets worth reusing

openCC (other)Apr 2025View details →

High-frequency, hourly, and daily measurements from Miers Valley Meteorological Station (MISM), McMurdo Dry Valleys, Antarctica (2012-2024, ongoing)

As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Miers Valley Meteorological Station (MISM), which was established in 2012 southeast of Lake Miers in Miers Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, barometric pressure, photosynthetically active radiation, incoming and outgoing shortwave radiation, wind speed and direction, as well as soil bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.

openCC (other)Nov 2024View details →

Chemical profiles of Crescent Stream, McMurdo Dry Valleys, Antarctica (2021-2023).

This data package contains chemical profiles (anions, cations, nutrients, and dissolved organic carbon (DOC)) from water samples collected during the austral summers of 2021-2022 and 2022-2023 in Crescent Stream, located in the McMurdo Dry Valleys of Antarctica. Samples were collected from the F8 gage and from the east and west branches of Crescent Stream, just above their confluence. Grab samples were analyzed according to the McMurdo Dry Valleys LTER core stream chemistry protocols. In December 2021, permafrost degradation was observed along the banks of the west branch, with a prior degradation event documented at the same location in January 2012. This data package supports a pending publication by Wright et al., examining the impacts of permafrost degradation on stream chemistry.

openCC (other)Apr 2025View details →

Zooplankton collected with a 2-m, 700-um net towed from surface to 120 m, aboard Palmer Station Antarctica LTER annual cruises off the western Antarctic peninsula, 2009 - 2024.

Zooplankton are a morphologically and taxonomically diverse group of animals. Many zooplankton feed on phytoplankton and thus provide a link between primary producers and higher trophic levels. Zooplankton density and biovolume were determined at grid stations on the annual LTER cruises along the western Antarctic Peninsula (WAP). Annual cruises take place between late December to early February, except for the NBP21-13 cruise, which was November and December. Typically, zooplankton were collected with a 2x2 meter, 700um mesh net fitted with a flow meter and towed obliquely to 120m. Zooplankton distributions vary spatially due to water column characteristics, which affect their predators' distributions. As climate change continues to affect the WAP, the relative abundance of the various zooplankton components can also be expected to change.

openCC (other)Feb 2022View details →

Vertical fluxes of particulate carbon, nitrogen and phosphorus from a sediment trap deployed west of Palmer Station, Antarctica at a depth of 170 meters, 1992-2019.

Particulate organic matter is exported from the upper ocean euphotic zone in the form of large sinking particles and as dissolved material. Particle fluxes to depth link the surface and mesopelagic realm and supply food to the benthos. Sedimentation flux is typically measured with sediment traps of various designs. Palmer LTER has deployed a time-series trap near 64.5degrees S, 66.0degrees W since late 1992. The trap is moored in 300 m depth and collects sinking particles at 150 m. Deployments and analyses were performed by David Karl, University of Hawaii until 2002 when Hugh Ducklow took over the sediment trap operations.Sedimentation at the PAL site of the West Antarctic Peninsula demonstrates extreme seasonality, with a well-defined pulse in the Austral summer following sea ice retreat. Daily sedimentation rates during the summer flux event are among the highest recorded globally. During the Austral winter when the ocean is covered by sea ice and shrouded in darkness, fluxes are among the lowest observed anywhere. Sedimentation rates at PAL typically vary by 4 orders of magnitude. There is also order of magnitude variability in the total annual flux (area under the curve).

openCC (other)Jun 2024View details →

Daily weather averages for Palmer Station, Antarctica (1989-2024)

Daily averages of weather data collected at Palmer Station, Antarctica were generated from averages of manual observations (1989-2003) and automatic weather station measurements (2003-present). Weather data was originally acquired by manual observers 4 times per day. An automated weather data system was installed in Nov 2001. Measurements began shifting from manual to automated observations in June 2003 until the manual observations were ended on December 12, 2003, except for snow stake depth, sea ice coverage, and sea water temperature which remain as manual observations. Data are collected, compiled, and distributed by the U.S. Antarctic Program’s polar contractor. Data is archived by the Antarctic Meteorological Research Center (AMRC) at the University of Wisconsin-Madison, and made available online at https://amrdcdata.ssec.wisc.edu/group/palmer-station/ This dataset contains a compiled version of the daily averaged data provided by the archive.

opencc-by-4.0Aug 2023View details →

Zero-degree isotherm latitude (ZIL) position over Antarctica: Historical and Projections

This is the dataset associated to the research 'Southward migration of the zero-degree isotherm latitude over the Southern Ocean and the Antarctic Peninsula: extent and implications' published in Science of the Total Environment.This repository contains:<ul><li>ZIL_ERA5_1957-2020_position.zip: Historical position of the ZIL for every longitude point in ERA5 from 1957 to 2020 for different seasons. Files named:<ul><li>ZIL_ERA5_1957-2020[season]position.csv<ul><li>Dimensions: [lons, years]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_ERA5_1957-2020_timeseries.csv: Historical spatially averaged position of the ZIL for Antartica (Ant) and the Antarctic Peninsula (AP) in ERA5 from 1957 to 2020 for different seasons. File named:<ul><li>ZIL_ERA5_1957-2020_timeseries.csv<ul><li>Dimensions: [years, season_area]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_ERA5_1957-2020_meanposition.csv: Historical temporally averaged position of the ZIL in ERA5 from 1957 to 2020 for different seasons and months. File named:<ul><li>ZIL_ERA5_1957-2020_meanposition.csv<ul><li>Dimensions: [lons, season/month]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_CEMIP6_Historical_position.zip: Mean position of the ZIL for every longitude point in Historical simulations of CEMIP6 from 1957 to 2014 for different seasons. Files named:<ul><li>ZIL_CEMIP6_Hist_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_CEMIP6_SSP2-45.zip: Mean position of the ZIL for every longitude point under the SSP2-4.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 for different seasons. Files named:<ul><li>ZIL_CEMIP6_SSP2-45_2040-69_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li><li>ZIL_CEMIP6_SSP2-45_2070-99_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li></ul></li><li>ZIL_CEMIP6_SSP5-85.zip: Mean position of the ZIL for every longitude point under the SSP5-8.5 scenario in CEMIP6 for the period 2040-69 and 2070-90 and trends for the period 2015-99 for different seasons. Files named:<ul><li>ZIL_CEMIP6_SSP5-85_2040-69_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li><li>ZIL_CEMIP6_SSP5-85_2070-99_[season]_position.csv<ul><li>Dimensions: [lons, models]</li><li>Units: degrees latitude</li></ul></li></ul></li></ul>seasons are:<ul><li>ANN: Annual mean</li><li>DJF: December-January-February (Summer)</li><li>MAM: March-April-May (Autumn)</li><li>JJA: June-July-August (Winter)</li><li>SON: September-October-November (Spring)</li></ul>areas are:<ul><li>Ant: All Antarctica</li><li>AP: Antarctic Peninsula</li></ul>Note: CEMIPT6 models include a column with CEMIP6 model averageVersion controlv1.0 - Initial version v1.1 - Change ERA5 dataset calculations from preliminary version of ERA5 to final version of ERA5 How to citeIf you use this dataset, please cite the accompanying paper as: Complementary codeYou can find the jupyter notebooks to complement the research in: <a href="https://doi.org/10.5281/zenodo.10063849">https://doi.org/10.5281/zenodo.10063849</a> ContactIf you have any question, please contact with Sergi at <a href="mailto:sergi.gonzalez@slf.ch">sergi.gonzalez@slf.ch</a>

opencc-by-4.0Apr 2024View details →

CTD profiles Peninsula Antarctica-Weddell Sea ECA-59 (January 2023)

CTD profiles Peninsula Antarctica-Weddell Sea ECA-59 This dataset includes CTD Castaway deployments at 20 locations along the Peninsula Antarctica-Weddell Sea within the framework of the Antarctic Maritime Campaign ECA-59, conducted by INACH on board the Betanzos Vessel. Data were collected between January 5, 2023 to January 13, 2023. Funded by Programa Areas Marinas Protegidas INACH (2403252) CTD Cast-away serial number (CC2139005) Row1=cruise ECA59 Row2_Station type Row3_Date=day/month/year Row_4_Latitude (S) Row_5_Longitude (w) Row_6_ Pressure (Decibar) Row_7_Depth (m) Row_8_Temperature (°C) Row_9_Conductivity (Microsiems per centimeter) Row_10_Salinity (Practical Salinity Units, PSU) Row_11_Sound velocity (Meters per seconds) Row_12_Density (kg per m3)

opencc-by-4.0Jan 2019View details →

Atmospheric climate model output of the COSMO-CLM2 regional climate model hindcast run over Antarctica (1987-2016)

The dataset contains monthly output of a COSMO-CLM² (COSMO-CLM coupled to the Community Land Model) atmospheric hindcast simulation over Antarctica which is described and evaluated in the following paper:  Souverijns, N., Gossart, A., Demuzere, M., Lenaerts, J.T.M., Medley, B., Gorodetskaya, I.V., Vanden Broucke, S., van Lipzig, N.P.M., 2019. A new Regional Climate Model for POLAR-CORDEX: Evaluation of a 30-year Hindcast with COSMO-CLM² over Antarctica. Journal of Geophysical Research: Atmospheres, 124, 1405-1427. (doi:10.1029/2018JD028862) Details of the model simulation: - COSMO-CLM version 5.0_clm6 - Community Land Model version 4.5 - Horizontal resolution: 0.25°x0.25° - Vertical resolution: 40 levels - Time period: 1987-2016 (excluding 4 years of spin-up) - Driving model: ERA-Interim   The data provided here has a monthly time resolution and contains the monthly average of all variables except denoted otherwise below. As such, each file consists of 360 time steps. - AEVAP_S: Surface evaporation [kg m-2] (summed value for each month) - ALB: Surface albedo [-] (only for austral summer months) - ALHFL_S: Surface latent heat flux [W m-2] - ALWD_S: Downward longwave radiation at the surface [W m-2] - ALWU_S: Upward longwave radiation at the surface [W m-2] - ASHFL_S: Surface sensible heat flux [W m-2] - ASOB_S: Surface net downward shortwave radiation [W m-2] - ASWDIFD_S: Diffuse downward shortwave radiation at the surface [W m-2] - ASWDIFU_S: Diffuse upward shortwave radiation at the surface [W m-2] - ASWDIR_S: Direct downward shortwave radiation at the surface [W m-2] - ATHB_S: Surface net downward longwave radiation at the surface [W m-2] - P: Pressure at 40 vertical levels [Pa] - QV: Specific humidity at 40 vertical levels [kg kg-1] - RH2M: Relative humidity at 2 meter [%] - SNOW_GSP: Surface snowfall amount [kg m-2] (summed value for each month) - T2M: Temperature at 2 meter [K] - T: Temperature at 40 vertical levels [K] - WS10M: Wind speed at 10 meter [m s-1] - WS: Wind speed at 40 vertical levels [m s-1]

opencc-by-4.0Oct 2019View details →

Raw multibeam bathymetry data collected around Siple Island in Marie Byrd Land, Antarctica on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

Dataset abstract An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected Siple Island in Marie Byrd Land, Antarctica in the austral summer of 2016/2017. Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys. This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution. Dataset contents <ul> <li>lineYYYYDDmonHHMMSS.xse, data file, proprietary format</li> <li>lineYYYYDDmonHHMMSS.ssv, data file, ASCII</li> <li>location.hydrostar, ancillary file, ASCII</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> Dataset license This raw multibeam bathymetry dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/

opencc-by-4.0Oct 2019View details →

Raw multibeam bathymetry data collected in the wider polynya area around the Mertz glacier, East Antarctica on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

Dataset abstract An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected in the wider polynya area around the Mertz glacier, East Antarctica in the austral summer of 2016/2017. Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys. This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution. Dataset contents <ul> <li>lineYYYYDDmonHHMMSS.xse, data file, proprietary format</li> <li>location.hydrostar, ancillary file, ASCII</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> Dataset license This raw multibeam bathymetry dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/l

opencc-by-4.0Oct 2019View details →

Raw multibeam bathymetry data collected around the Balleny Islands, Antarctica on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

Dataset abstract An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around the Balleny Islands, Antarctica in the austral summer of 2016/2017. Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys. This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution. Dataset contents <ul> <li>lineYYYYDDmonHHMMSS.xse, data file, proprietary format</li> <li>location.hydrostar, ancillary file, ASCII</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> </ul> Dataset license This raw multibeam bathymetry dataset is made available the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/

opencc-by-4.0Jun 2021View details →

PetroChron Antarctica – a geological database for interdisciplinary use

PetroChron Antarctica is a relational database containing petrological, geochemical and geochronological datasets along with computed rock properties from sampled rocks across Antarctica. Dataset is associated with the submitted publication - PetroChron Antarctica – a geological database for interdisciplinary use.

opencc-by-4.0Sep 2021View details →

Bathymetry beneath the Amery ice shelf, East Antarctica, revealed by airborne gravity

We estimated the seafloor topography beneath the Amery Ice Shelf, East Antarctica, from airborne gravity anomaly through a nonlinear inversion method called simulated annealing. The estimation results provide a view of the seafloor beneath the Amery Ice Shelf, where direct bathymetric observations are rare. The model, 'gravity_estimated_seafloor_topography_beneath_the_Amery_Ice_Shelf.nc', is in NetCDF format which can be read through MATLAB commands "ncdisp" and "ncread". Contents of the model can be found in "contents.txt". The MATLAB program "nc2mat.m" reads the NetCDF ".nc" format model and saves the variables in the model to a MATLAB ".mat" format file.

opencc-by-4.0Mar 2023View details →

Gridded depth and accumulation products from dated airborne radar stratigraphy over West Antarctica during the mid-Holocene, v.1.0.0

This dataset comprises of codes (written in MATLAB) and gridded files (exported as GeoTIFF) presented in Bodart et al. (2023; The Crysophere; <a href="https://doi.org/10.5194/tc-2022-199">https://doi.org/10.5194/tc-2022-199</a>). A summary of the key findings from this study is provided as follows: "Using a spatially extensive IRH over Pine Island Glacier, Thwaites Glacier, and Institute and Möller Ice Streams (covering a total of 610 000 km2 or 30% of the WAIS), and a local layer approximation model, we infer mid-Holocene accumulation rates over the slow-flowing parts of these catchments for the past ~4700 years. By comparing our results with modern climate reanalysis models (1979 – 2019) and observational syntheses (1651 – 2010), we estimate that accumulation rates over the Amundsen-Weddell-Ross divide were on average 18% higher during the mid-Holocene than modern rates. However, no significant spatial changes in the accumulation pattern were observed." This dataset contains a series of files (5x .m files, 10x .tif files). The numbering of the figures in the description below refers to the order of the figures in the associated paper. <ul> <li> 5x MATLAB files: <ul> <li>Calculate_accumulation_rates.m: calculates accumulation rates for the mid-Holocene-to-present, as well as uncertainties associated with the age and model structural uncertainty;</li> <li>Calculate_D_parameter.m: calculates the D parameter (and associated L_path, L_H and L_b) to assess the feasability of the LLA over our grid;</li> <li>Calculate_longitudinal_strain_rates.m: calculates the longitudinal strain rates over our grid from modern ice-flow velocities;</li> <li>Calculate_vertical_strain_rates.m: calculates vertical strain rates for the mid-Holocene-to-present part of the ice column from accumulation estimates;</li> <li>Resample_IRH_data.m: Re-samples the along-track IRH data into evenly distributed 500-m points for speeding up the gridding and calculations of accumulation rates;  </li> </ul> </li> <li>10x GeoTIFF files: <ul> <li>Holocene_IRH_depth_Fig2a.tif: Figure 2a;</li> <li>Holocene_accumulation_rates_Fig3a.tif: Figure 3a;</li> <li>Difference_Holocene_accumulation_RACMO2_Fig3c.tif: Figure 3c;</li> <li>Relative_difference_Holocene_accumulation_RACMO2_Fig4.tif: Figure 4;</li> <li>D_parameter_FigS1d.tif: Figure S1d;</li> <li>Holocene_vertical_strain_rates_FigS2a.tif: Figure S2a;</li> <li>Longitudinal_strain_rates_FigS2b.tif: Figure S2b;</li> <li>Holocene_accumulation_lower_uncertainty_FigS4a.tif: Figure S4a;</li> <li>Holocene_accumulation_upper_uncertainty_FigS4b.tif: Figure S4b;</li> <li>Holocene_accumulation_relative_uncertainty_FigS4c.tif: Figure S4c;</li> </ul> </li> </ul> Please also cite the associated paper when using this dataset. Any questions, please direct them to the corresponding author, Julien Bodart (julien.bodart@ed.ac.uk).

openCC (other)Sep 2020View details →

Metacommunity simulations for diatom assemblages residing in benthic cyanobacterial mats in Fryxell Basin in Taylor Valley in the McMurdo Dry Valleys, Antarctica

Here, we use MCSim, a spatially explicit metacommunity simulation package for R, to test alternative hypotheses about the roles of dispersal and species sorting in maintaining the biodiversity of diatom assemblages residing in black and orange mats in Fryxell Basin in Taylor Valley in the McMurdo Dry Valleys of Antarctica. The spatial distribution and patchiness of cyanobacterial mat habitats was characterized by remote imagery of the Lake Fryxell sub-catchment in Taylor Valley collected in January 2015. The available species pool for diatom metacommunity simulation scenarios was informed by the Antarctic Freshwater Diatoms Database, maintained by the McMurdo Dry Valleys Long Term Ecological Research program, representing samples collected between January 1994 and January 2013. We used simulation outcomes to test the plausibility of alternative community assembly hypotheses to explain empirically observed patterns of freshwater diatom biodiversity in the long-term record. The most plausible simulation scenarios suggest species sorting by environmental filters, alone, was not sufficient to maintain biodiversity in the Fryxell Basin diatom metacommunity. The most plausible scenarios included either (1) neutral models with different immigration rates for diatoms in orange and black mats or (2) species sorting by a relatively weak environmental filter, such that dispersal dynamics also influenced diatom community assembly, but there was not such a strong disparity in immigration rates between mat types. The results point to the importance of dispersal for understanding current and future biodiversity patterns for diatoms in this ecosystem, and more generally, provide further evidence that metacommunity theory is a useful framework for testing hypotheses about microbial community assembly. This dataset supports the paper: Sokol, E. Et al, 2020. Evaluating Alternative Metacommunity Hypotheses for Diatoms in the McMurdo Dry Valleys Using Simulations and Remote Sensing Data

openCC (other)Feb 2022View details →

Stream gage and outlet locations, McMurdo Dry Valleys, Antarctica (1993-2020, ongoing)

As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in the region. Measurements are regularly made to examine water quality, quantity, and chemical properties. The stream gauge and outlet locations table serves as an index of the sampling points used to collect hydrological and stream chemistry data in the McMurdo Dry Valley network of streams. It documents the latitude, longitude and elevation of all the stream sample points used for hydrological and/or chemical analysis.

openCC (other)Feb 2025View details →

Ion concentrations in glacial meltwater streams, McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)

As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic aqueous geochemical sampling program has been undertaken. A series of terrestrial water samples have been collected and analyzed for major ion chemistry by ion chromatography. The concentrations of ions cover a wide range of total dissolved solids from the stream waters. This dataset shows concentrations of lithium, sodium, potassium, magnesium, calcium, iron, chlorine, bromine, silicon, fluorine, sulfate, and hydrogen ions found in various streams of the McMurdo Dry Valleys.

openCC (other)Mar 2025View details →

Glacier stake locations, McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)

As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor mass balance and meltwater flow from the Taylor Valley glaciers. This data set contains global positioning system (GPS) measurements of stakes on glaciers. The measurements include both low-quality estimates (+/- 100m) from hand-held GPS units and high precision measurements (+/- 2 cm) using Trimble (4000 SSE) geodetic receivers. The purpose of these measurements was to obtain rough stake locations for use in relocating stakes in the future and precise stake locations for use in calculating stake displacement. The measurements are made relative to the WGS84 ellipsoid.

openCC (other)Mar 2025View details →

Summarized glacier mass balance measurements, McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)

As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor glacial mass balance and meltwater flow. This data package contains total mass balance changes at each stake measured on six glaciers (Canada, Commonwealth, Hughes, Suess, Howard, and Taylor) in Taylor Valley and one glacier (Adams) in Miers Valley, all of which are located in the McMurdo Dry Valleys region of Antarctica. These values are the result of an analysis of the raw data presented in other data files (glacier stake heights, snow depths, and snow densities). Included here for each stake is the total water equivalent mass change. The standard deviation or the range for each total is given. Most measurements began during the 93-94 field season. Adams measurements were established during the 14-15 field season. Measurements are ongoing except at Hughes and Suess Glaciers where monitoring ceased following the 08-09 field season. Monitoring the changes in these measurements over time provides a record of mass balance, and aids in determining the role of glaciers in the polar hydrologic cycle.